

Warming trend through the week with high temperatures climbing from 55°F to 69°F. Mostly dry conditions with only one day showing rain chances.
This week's forecast shows temperatures running 4°F below the historical average for October-November. Normal highs for this period are around 67°F with lows around 42°F.
1947 - The Donora, PA, smog disaster finally came to an end. For five days an inversion trapped impurities in the lower atmosphere over the Monongahela Valley killing 20 persons, and leaving more than 2000 others sick.
More on this and other weather history
Day: Partly sunny, with a high near 55. Northwest wind around 15 mph, with gusts as high as 25 mph.
Night: Partly cloudy, with a low around 36. West wind 0 to 10 mph, with gusts as high as 20 mph.
Day: Sunny, with a high near 62. West wind 0 to 10 mph, with gusts as high as 20 mph.
Night: Mostly clear, with a low around 35. Northwest wind 0 to 5 mph.
Day: Patchy frost before 9am. Partly sunny, with a high near 63. Northeast wind around 0 mph.
Night: Mostly cloudy, with a low around 41.
Day: A slight chance of rain showers after 1pm. Partly sunny, with a high near 60. Chance of precipitation is 20%.
Night: A slight chance of rain showers before 7pm. Partly cloudy, with a low around 40. Chance of precipitation is 20%.
Day: Sunny, with a high near 64.
Night: Mostly clear, with a low around 41.
Day: Sunny, with a high near 67.
Night: Mostly clear, with a low around 40.
Day: Sunny, with a high near 69.
Night: Mostly clear, with a low around 41.
Wed's High Temperature
103 at 2 Miles West Of Pala, CA
Thu's Low Temperature
12 at 4 Miles Northwest Of Grand Lake, CO and 2 Miles Southwest Of Canyon Village, WY

Lyerly is a town in Chattooga County, Georgia, United States. As of the 2020 census, the town had a population of 454.
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Current conditions: We use the nearest available station to your location - including professional MESONET/MADIS and local weather stations - often miles closer than regional airports.
Forecasts: National Weather Service point forecasts predict for your specific area, not broad regional zones, making them far more relevant to your location.